Associate Director, Clinical Outcomes Assessment - Quantitative Research - Digital Health R&D Oncology – Evinova

Evinova is a health-tech business, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigour, and human insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group. Digital health, the point at which healthcare, technology, data and analytics converge, is the subject of phenomenal promise, with the World Health Organisation believing it has the potential to improve health for everyone. At AstraZeneca, we’ve been working hard to make this a reality, with the years of experience we have accumulated enabling us to now embed digital health at scale across R&D. To achieve our goal of improving patient experience and outcomes AstraZeneca has Digital Health as one of the top 4 strategic priorities for the company, details on digital health strategy can be found here. Oncology is the largest therapeutic area within AstraZeneca and second highest cause of death globally, with AstraZeneca’s ambition to eliminate cancer as a cause of death. Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. An Associate Director in the Quantitative COA Science team, Centre of Excellence, will have experience in the use of clinical outcomes assessments (COA) such as traditional survey-like instruments using rating or ranking scales and novel sensor/wearable data capture instruments to inform identification and/or evaluation of symptoms, function, health-related quality of life, or other patient-centric concept of clinical benefit throughout the drug development lifecycle and into post-marketing. The Associate Director will be responsible for providing quantitative measurement support for the execution of patient- centered measurement strategy and dissemination of its findings to key stakeholders, such as R&D global and/or cross-functional teams, regulators, payers, healthcare professionals and most importantly patients in support of more efficient identification of treatment benefits vs harms. This includes but is not limited to: selection of data collection strategy and implementation in clinical research or real-world settings, development of patient-centric endpoints, evidence strategy development, design and interpretation of data analyses for audience-adapted dissemination. Therapeutic areas include oncology, and may span cardiovascular, renal & metabolism, and Respiratory & Immunology, among others. The role must work in partnerships with internal stakeholders (e.g., Study teams, Strategy, Product) and external stakeholders, e.g., Global and Clinical Study Teams, and partners, to uphold patient-centricity, diversity and sustainability values, and scientific rigor. The Associate Director will be expected to partner with scientific leaders within the organization to identify specific areas of interest for professional development, with the ultimate goal of becoming a recognized leader in the COA/digital health field. Accountabilities - Provide technical expertise, scientific advice, and guidance to team members, contributing to project success within areas such as Patient Safety, Pharmacology, or Safety Assessment. - Independently plan, execute, and interpret a variety of research studies, experiments, or analytical work, and report results clearly and concisely with an understanding of their broader scientific or clinical implications. - Actively contribute to project and departmental objectives by collaborating within cross-functional teams, supporting project managers, and communicating findings and progress across distinct functions and forums. - Participate in or lead processes for data evaluation, such as triage, adverse event interpretation, or anomaly recognition, ensuring high-quality assessment and timely reporting. - Support or develop new and improved experimental methods, laboratory techniques, or analytical tools, and participates in the validation and review of protocols or methodologies to drive quality and compliance. - Manage own workload to achieve agreed targets and quality standards in a timely manner, proactively communicating status and consulting with colleagues or supervisors as needed. - Advise on or ensure documentation, reporting, and data management meet internal and external requirements, including regulatory or compliance standards. - Provide technical training, instruction, or support to less experienced colleagues; allocate work as appropriate and fosters a collaborative, learning-focused environment. - Engage with the broader scientific community—through literature review, sharing publications, discussing results at meetings, and maintaining awareness of scientific advances and best practices. - Contribute to or support departmental and organizational objectives by participating in change management activities, recognizing business needs, and seeking or sharing information with other business areas. - Ensure all work (individual and team) complies with Good Laboratory Practice (GLP), Safety, Health & Environment (SHE) standards, Animal Welfare (where relevant), and other applicable internal and external regulations. Essential skills & experience: Combination of academic training and practical experience in outcomes research. This may consist of: Doctoral degree (e.g., Ph.D., Sc.D. or Dr.P.H.) in a relevant discipline such as, but not limited to, health services research, health outcomes research, epidemiology, pharmacy administration, public health, economics, statistics or decision sciences Clinical degree (e.g., in medicine, pharmacy, nursing) and a masters degree in a related discipline (as noted above) Masters degree in a related discipline (as noted above), plus two years practical experience Minimum requirement: Bachelors degree in a related discipline (as noted above), plus five years practical experience Desirable skills & experience: Regulatory Experience: Direct experience participating in or supporting FDA/EMA interactions related to COA endpoints, labeling discussions, or post-approval commitments. Therapeutic Area Depth: Significant experience in oncology, rare diseases, immunology, or neuroscience where COA evidence is critical for demonstrating treatment benefit. HTA & M